All authors
Claude Skills by tools-only
github.com/tools-only19,166 skills18 installs6,168 views
- 629 Faq 35c56a80OpenViking 是一个专为 AI Agent 设计的开源上下文数据库。它解决了构建 AI Agent 时的核心痛点：Votes: 0GitHub stars: 9
- 629 Faq 3917033aOpenViking is an open-source context database designed specifically for AI Agents. It solves core pain points when building AI Agents:Votes: 0GitHub stars: 9
- 629 Faq 39d26d09OpenViking is an open-source context database designed specifically for AI Agents. It solves core pain points when building AI Agents:Votes: 0GitHub stars: 9
- 629 Faq 41b03e5d**Got questions?** You're not alone! Here are answers to the most common questions about Antigravity Awesome Skills. ---Votes: 0GitHub stars: 9
- 629 Faq 657bd583OpenViking is an open-source context database designed specifically for AI Agents. It solves core pain points when building AI Agents:Votes: 0GitHub stars: 9
- 629 Faq 6e623d44OpenViking 是一个专为 AI Agent 设计的开源上下文数据库。它解决了构建 AI Agent 时的核心痛点：Votes: 0GitHub stars: 9
- 629 Faq 8474bae0**Current Version:** v1.9.180 (January 30, 2026) **Framework:** PyQt6 **Last Updated:** January 30, 2026 Welcome to the Supervertaler FAQ! Find answers to common questions about installation, features, workflow, and troubleshooting. ---Votes: 0GitHub stars: 9
- 629 Faq 865ecfe7**Current Version:** v1.7.8 (November 22, 2025) **Framework:** PyQt6 **Last Updated:** November 22, 2025 Welcome to the Supervertaler FAQ! Find answers to common questions about installation, features, workflow, and troubleshooting. ---Votes: 0GitHub stars: 9
- 629 Faq 97bfa995> This FAQ covers the most common questions about EvalView, the open-source AI agent testing framework. If your question isn't answered here, check [GitHub Discussions](https://github.com/hidai25/eval-view/discussions). ---Votes: 0GitHub stars: 9
- 629 Faq 98c9768cOpenViking 是一个专为 AI Agent 设计的开源上下文数据库。它解决了构建 AI Agent 时的核心痛点：Votes: 0GitHub stars: 9
- 629 Faq A35a4c97OpenViking is an open-source context database designed specifically for AI Agents. It solves core pain points when building AI Agents:Votes: 0GitHub stars: 9
- 629 Faq A70d2cf8OpenViking 是一个专为 AI Agent 设计的开源上下文数据库。它解决了构建 AI Agent 时的核心痛点：Votes: 0GitHub stars: 9
- 629 Faq A95bd835Frequently asked questions about ZERG. Questions are grouped by topic. ---Votes: 0GitHub stars: 9
- 629 Faq Cbe166ebOpenViking 是一个专为 AI Agent 设计的开源上下文数据库。它解决了构建 AI Agent 时的核心痛点：Votes: 0GitHub stars: 9
- 629 Faq D6a7490cOpenViking is an open-source context database designed specifically for AI Agents. It solves core pain points when building AI Agents:Votes: 0GitHub stars: 9
- 629 Faq D8cb17b9**Current Version:** v1.9.74 (December 31, 2025) **Framework:** PyQt6 **Last Updated:** January 1, 2026 Welcome to the Supervertaler FAQ! Find answers to common questions about installation, features, workflow, and troubleshooting. ---Votes: 0GitHub stars: 9
- 634 Developer 05dd1f9cThis guide covers everything you need to know to develop with the Aden Agent Framework.Votes: 0GitHub stars: 9
- 634 Developer 6a7f40a5This guide covers everything you need to know to develop with the Aden Agent Framework.Votes: 0GitHub stars: 9
- 635 Pr Message 587880f6Add Cursor IDE support for existing Claude Code skills and MCP servers.Votes: 0GitHub stars: 9
- 636 Getting Started 0da6f08eInteractive guide for setting up a Neon project and connecting it to code. See the [official getting started guide](https://neon.com/docs/get-started/signing-up.md) for complete details.Votes: 0GitHub stars: 9
- 636 Getting Started 493799d9This guide will help you set up the Aden Agent Framework and build your first agent.Votes: 0GitHub stars: 9
- 636 Getting Started 616a8930This guide will help you set up the Aden Agent Framework and build your first agent.Votes: 0GitHub stars: 9
- 636 Getting Started 69805678This guide will help you get OpenAkita up and running quickly.Votes: 0GitHub stars: 9
- 636 Getting Started 7cdf057eThis guide will help you get OpenAkita up and running quickly.Votes: 0GitHub stars: 9
- 636 Getting Started 89b19ca2This guide will help you set up the Aden Agent Framework and build your first agent.Votes: 0GitHub stars: 9
- 636 Getting Started 8fee1a8bThis guide will help you set up the Aden Agent Framework and build your first agent.Votes: 0GitHub stars: 9
- 636 Getting Started B3e23f99This guide will help you get OpenAkita up and running quickly.Votes: 0GitHub stars: 9
- 636 Getting Started E84844e4Interactive guide to help users get started with Neon in their project. Sets up their Neon project (with a connection string) and connects their database to their code. For the official getting started guide: ```bash curl -H "Accept: text/markdown" https://neon.com/docs/get-started/signing-up ```Votes: 0GitHub stars: 9
- 637 Remove Llm Dependency From Mcp Server 6346f1caThe `agent_builder_server.py` MCP server has a hardcoded dependency on `AnthropicProvider` for test generation, which: 1. Breaks when users don't have an Anthropic API key 2. Is redundant since the calling agent (Claude) can write tests directly 3. Violates the principle that MCP servers should be provider-agnostic utilitiesVotes: 0GitHub stars: 9
- 637 Remove Llm Dependency From Mcp Server 8e0c5d66The `agent_builder_server.py` MCP server has a hardcoded dependency on `AnthropicProvider` for test generation, which: 1. Breaks when users don't have an Anthropic API key 2. Is redundant since the calling agent (Claude) can write tests directly 3. Violates the principle that MCP servers should be provider-agnostic utilitiesVotes: 0GitHub stars: 9
- 638 Aden Vs Autogen 6f869900*Comparing self-evolving agents with conversational multi-agent systems* --- Microsoft's AutoGen and Aden both enable multi-agent systems but serve different purposes. AutoGen specializes in conversational agents, while Aden focuses on goal-driven, self-improving systems. ---Votes: 0GitHub stars: 9
- 638 Aden Vs Autogen 807e83d8*Comparing self-evolving agents with conversational multi-agent systems* --- Microsoft's AutoGen and Aden both enable multi-agent systems but serve different purposes. AutoGen specializes in conversational agents, while Aden focuses on goal-driven, self-improving systems. ---Votes: 0GitHub stars: 9
- 639 Aden Vs Langchain Db973e19*Choosing between goal-driven agents and component-based development* --- LangChain and Aden represent two different philosophies for building AI agent systems. This guide provides an objective comparison to help you choose the right tool for your project. ---Votes: 0GitHub stars: 9
- 640 Self Improving Vs Static Agents 864a09b3*Why adaptive AI agents are changing how we build intelligent systems* --- The AI agent landscape is divided between two fundamentally different approaches: **static agents** that execute predefined logic, and **self-improving agents** that evolve based on experience. Understanding this distinction is crucial for choosing the right architecture. ---Votes: 0GitHub stars: 9
- 641 02 Architecture Deep Dive 5db20420Test your understanding of Aden's architecture and backend systems. This challenge is perfect for backend engineers who want to contribute to the core framework. **Difficulty:** Intermediate **Time:** 1-2 hours **Prerequisites:** Complete [Getting Started](./01-getting-started.md), familiarity with Node.js/TypeScript ---Votes: 0GitHub stars: 9
- 659 Description Skill 01b2e4d1Scientific delegation framework for orchestrators coordinating sub-agents. Provides WHERE-WHAT-WHY context patterns while preserving agent autonomy. Use when delegating tasks, structuring sub-agent prompts, planning multi-agent workflows, or coordinating specialist agents.Votes: 0GitHub stars: 9
- 659 Description Skill 02846f3cScientific delegation framework for orchestrators coordinating sub-agents. Provides WHERE-WHAT-WHY context patterns while preserving agent autonomy. Use when delegating tasks, structuring sub-agent prompts, planning multi-agent workflows, or coordinating specialist agents.Votes: 0GitHub stars: 9
- 659 Description Skill 02f8700bCreate high-quality Claude Code agents from scratch or by adapting existing agents as templates. Use when the user wants to create a new agent, modify agent configurations, build specialized subagents, or design agent architectures. Guides through requirements gathering, template selection, and agent file generation following January 2026 Anthropic best practices.Votes: 0GitHub stars: 9
- 659 Description Skill 03cfa111Master multi-agent orchestration using Claude Code's swarm system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns. This facade loads specialist skills for primitives, spawning, operations, and patterns.Votes: 0GitHub stars: 9
- 659 Description Skill 07529843SAM Stage 7 — Goal-backward certification that the feature achieves its original objectives. Used when all tasks pass forensic review; starts from expected outcomes, works backwards to verify each was achieved. Returns CERTIFIED or NOT_CERTIFIED with specific gaps.Votes: 0GitHub stars: 9
- 659 Description Skill 0a0bb338When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.Votes: 0GitHub stars: 9
- 659 Description Skill 0bf827f7Scientific delegation framework for orchestrators coordinating sub-agents. Provides WHERE-WHAT-WHY context patterns while preserving agent autonomy. Use when delegating tasks, structuring sub-agent prompts, planning multi-agent workflows, or coordinating specialist agents.Votes: 0GitHub stars: 9
- 659 Description Skill 1807d209Comprehensive linting and formatting verification workflows. Provides automatic format-lint-resolve pipelines for orchestrators and sub-agents. Use when running linters, fixing ruff/mypy/bandit errors, ensuring code quality before completion, or resolving linting issues systematically.Votes: 0GitHub stars: 9
- 659 Description Skill 1b3c4935SAM Stage 3 — Ground the design plan in actual codebase reality. Performs scope analysis, conflict detection, and resource mapping. Used when the PLAN artifact needs contextualization with concrete file references, integration points, and resolved conflicts.Votes: 0GitHub stars: 9
- 659 Description Skill 1dae8ddeWhen calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.Votes: 0GitHub stars: 9
- 659 Description Skill 1e0f17a9Configure pyproject.toml and Python packaging for distribution. Use when setting up a new Python package, when configuring build tools and dependencies, or when preparing a project for PyPI publishing.Votes: 0GitHub stars: 9
- 659 Description Skill 3474a51cCreate high-quality Claude Code agents from scratch or by adapting existing agents as templates. Use when the user wants to create a new agent, modify agent configurations, build specialized subagents, or design agent architectures. Guides through requirements gathering, template selection, and agent file generation following January 2026 Anthropic best practices.Votes: 0GitHub stars: 9
- 659 Description Skill 38fa6f00When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.Votes: 0GitHub stars: 9
- 659 Description Skill 3ef8115dCreate high-quality Claude Code agents from scratch or by adapting existing agents as templates. Use when the user wants to create a new agent, modify agent configurations, build specialized subagents, or design agent architectures. Guides through requirements gathering, template selection, and agent file generation following January 2026 Anthropic best practices.Votes: 0GitHub stars: 9
- 659 Description Skill 49c870a5Analyze git branches and generate comprehensive merge request descriptions with structured domain-based change categorization (bug fixes, enhancements, technical debt, documentation, testing). Use when preparing MR/PR descriptions, documenting branch changes, or analyzing git diffs for release notes. Works with any git repository without requiring JIRA or issue tracker integration.Votes: 0GitHub stars: 9